About Fit Analytics Innovation GmbH Fit Analytics Innovation is a leading technology company specializing in innovative and sustainable solutions for the retail industry. Our mission is to revolutionize the online shopping experience by providing personalized recommendations including size and fit, style, and alternative product suggestions. Our technologies support shoppers and retailers alike by reducing returns, increasing conversions, enhancing customer satisfaction, and ultimately helping the environment. As a trusted partner of leading global apparel and footwear retailers, Fit Analytics is dedicated to optimizing the online shopping journey. By seamlessly integrating our sizing technology, we empower customers to make informed choices, leading to a more efficient and enjoyable shopping experience. Our cutting-edge AI solution - Fit Finder - delivers precise size recommendations tailored to individual customers. Our machine learning technology takes brand-specific sizing variations and individual body measurements into account, ensuring a personalized and reliable fit for each shopper. Our team members come from all around the world, creating a global collective of passionate domain experts dedicated to solving sizing for our partners and their shoppers. Role Overview:Embark on an exciting journey with Fit Analytics Innovation as a Senior Data Scientist, where you'll play a pivotal role in driving the success of our cutting-edge recommendation solutions. As a seasoned professional, you will contribute to projects in production with your strong ML and SWE skillset. Additionally, you will have the opportunity to pave the way forward with innovative ideas and bring them to life. Key Responsibilities:<ul><li>Develop state of the art solutions for apparel sizing, style, and product recommendations.</li><li>Experience with implementing the lifecycle of ML solutions</li><li>Champion best practices in code quality, review, and software architecture.</li><li>Drive continuous innovation in ML techniques and strategies to maintain competitive advantage and keep pace with industry standards.</li><li>Collaborate with product and engineering teams to align ML technologies with business goals and enhance customer outcomes.</li></ul> Requirements and Qualifications:<ul><li>Proven experience as a Senior Data Scientist, particularly in recommendation systems and scalable ML solutions.</li><li>Proficient in Python and SQL.</li><li>Extensive experience with ML frameworks and tools such as TensorFlow, PyTorch, and ML serving technologies like TensorFlow Serving or NVIDIA Triton.</li><li>Proficient in developing and optimizing ML pipelines, model deployment, and serving strategies.</li><li>Strong record of software engineering best practices, including testing, data structures, algorithms, and complexity analysis.</li><li>Proactive attitude towards organizational growth, personal development and developing team spirit</li><li>Excellent problem-solving skills and the ability to communicate complex ideas effectively with all levels of an organization.</li></ul>

Company Description akirolabs is an award-winning AI-powered B2B ProcureTech SaaS designed to elevate procurement from a tactical function to a strategic business partner orchestrating value chains. Our cutting-edge solution enables the development of procurement strategies, providing a ready-to-use framework that organizations can adapt to their unique needs and contexts.  Having won many prestigious awards and recognitions, akirolabs is a recognized leader in the AI-driven procurement technology landscape. Some of our recent accolades include being named as the top 27 AI startup in Germany, shortlisted for the prestigious World Procurement Awards 2023 in the Procurement Technology Provider category, being named as one of the top 10 procure tech startups in the Digital Procurement world in 2022 and receiving the title of Gartner Cool Vendor 2022™ in Sourcing and Procurement Technology. Our corporate culture and values can be found here https://akirolabs.com/company/our-vision/. Job Description <ul><li>Drive AI/DS/ML initiatives across an organization and take ownership of the entire ML lifecycle, from concept to delivery</li><li>Continue AI/ML development for our SaaS product with a passion for well-architected, secure, testable and documented code as well as scalable system design</li><li>You are a self-starter who identifies relevant research in the procurement area and subsequently integrates this knowledge into our product by conducting experiments and devising solutions for creating chatbots, forecasts and decision support systems </li><li>Utilize your software engineering expertise and business acumen to build, scale and maintain our ML services, managing all phases of technology development</li><li>Create, and maintain high-quality datasets and implement data pipelines for processing procurement data</li><li>Collaborate with our cross-functional teams of software engineers implementing disruptive change in the procurement industry</li><li>Stay up-to-date with the latest advancements in AI/ML technologies and best practices, and proactively contribute ideas for continuous improvement</li><li>Learn, share knowledge and participate in further building of our Data Science team</li></ul> Qualifications <ul><li>University degree (PhD preferred) in a relevant field of study like Artificial intelligence, Machine Learning, Deep Learning, Data Science, Data Engineering, Statistics, Computer Science, Engineering</li><li>Strong knowledge of Machine Learning and generative models with understanding of computational constraints and data privacy considerations</li><li>5+ years of overall commercial experience in Data Science</li><li>3+ years of commercial experience with NLP / LLM including prompt engineering, training, fine-tuning, RAG, evaluation, transfer learning techniques</li><li>Knowledge of Data Analyze/Processing, Data Visualization and Storages (Databases, Data Lakes, Data Warehouses)</li><li>Champion best coding practices, documentation, reviews, data quality and security, and performance with proficiency in Python ecosystem and a strong grasp of popular ML libraries and frameworks, including LLM-oriented</li><li>Experience with Infrastructure (MLOps/LLMOps, AWS/GCP Clouds, SQL, REST APIs, GitHub) and managing end-to-end ML pipelines would be a big plus</li><li>Relevant experience in software development and familiarity with our tech stack (React and Java) would be a plus</li><li>Good English in speaking and writing, communication skills that are clear, open and professional</li></ul> Additional Information <ul><li>Be part of a recognised leader in AI-driven procurement technology startup, creating innovative services that have a substantial impact on the lives of our enterprise customers</li><li>Remote-first – work where you work best (within Berlin or the area), whether from home or in a hybrid/onsite mode from our office in a great location in Berlin</li><li>You have a unique chance to join the team an early stage and make your valued input in engineering excellence. Working in an international team and context</li><li>Business trips within Europe might be expected on demand (once per quarter in average)</li><li>Team building company events</li></ul> Equal Opportunities akirolabs is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: akirolabs is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at akirolabs are based on business needs, job requirements and individual qualifications, without regard to race, colour, religion or belief, […], family or parental status, or any other status protected by the laws or regulations in the locations where we operate. akirolabs will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages. Our privacy policy https://akirolabs.com/datenschutz/

Sind Sie auf der Suche nach neuen und spannenden Herausforderungen? Dann beginnen Sie Ihre Karriere bei uns und werden Sie Teil eines unserer Kundenprojekte. IHRE AUFGABEN<ul><li>Analyse großer Datenmengen zur Identifizierung von Mustern, Trends und Erkenntnissen, die zur Lösung geschäftlicher Herausforderungen beitragen</li><li>Entwicklung und Implementierung von Machine-Learning-Algorithmen und -Modellen zur Vorhersage, Klassifizierung und Optimierung</li><li>Zusammenarbeit mit verschiedenen Teams, um Datenanforderungen zu verstehen, analytische Lösungen zu entwickeln und Erkenntnisse zu präsentieren</li><li>Bereinigung, Transformation und Integration von Daten aus verschiedenen Quellen, um eine konsistente und zuverlässige Datenbasis zu schaffen</li><li>Bewertung und Einführung neuer Technologien, Tools und Methoden zur Verbesserung der Datenanalyse und -modellierung</li></ul> IHR PROFIL*<ul><li>Abgeschlossenes Studium in Informatik, Statistik, Mathematik, Data Science oder einem verwandten Bereich</li><li>Nachgewiesene Erfahrung in der Datenanalyse und -modellierung, idealerweise in einem Unternehmensumfeld</li><li>Kenntnisse in Programmiersprachen wie Python oder R sowie in Datenbankabfragesprachen wie SQL</li><li>Erfahrung mit Machine-Learning-Frameworks (wie TensorFlow, PyTorch oder Scikit-Learn)</li><li>Starke Problemlösungsfähigkeiten und die Fähigkeit, komplexe Sachverhalte klar zu kommunizieren</li><li>Kundenorientierte und agile Arbeitsweise (Scrum)</li><li>Erfahrung mit Big-Data-Technologien (wie Hadoop, Spark oder Kafka) ist von Vorteil</li><li>Sehr gute Deutsch- und Englischkenntnisse</li></ul>*Mut zur Lücke! Auch wenn Sie nicht alle Anforderungen erfüllen: Trauen Sie sich und bewerben Sie sich bei uns! WARUM SIE BEI UNS GENAU RICHTIG SIND<ul><li>Es besteht die Möglichkeit zum Teil remote zu arbeiten und somit von den Vorteilen hybrider Arbeit zu profitieren (flexibles Arbeiten)</li><li>Teamspirit und Diversität</li><li>Work-Life-Balance</li><li>Attraktive Vergütung</li><li>Sozialleistungen</li><li>Vielseitige Weiterbildungsmöglichkeiten</li><li>Team- und Sportevents</li><li>Globales Netzwerk</li><li>Attraktives Mitarbeiterempfehlungsprogramm</li></ul> Die Benefits können je nach Position und Standort variieren. Eine Übersicht über unsere Benefits befindet sich auf unserer Webseite unterhalb Karriere und Benefits. Senden Sie uns direkt Ihre Bewerbung zu. Für Rückfragen stehen wir Ihnen gerne zur Verfügung. Wir freuen uns über die Bewerbung von Menschen, die zur Vielfalt unseres Unternehmens beitragen.

Data Scientist Jobs in Berlin, Germany

Data Scientist
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Data Scientist Kiexpertin Promotionsstelle
August 12, 2024

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Data Scientist Jobs in Berlin, Germany

Data ScientistSeptember 6, 2024

Senior Data ScientistSeptember 6, 2024

Senior Data Scientist Llm EngineerSeptember 3, 2024

Data Scientist MwdSeptember 1, 2024

Junior Data Scientist MwdSeptember 1, 2024

Junior Data Scientist Mwd In NeckarsulmSeptember 1, 2024

Data Scientist Softwareentwickler Mwd Anwendungsentwicklung Mit Large Languagemodellen LlmsAugust 15, 2024

Data Scientist Kiexpertin PromotionsstelleAugust 12, 2024